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Prediction of Faults using Hydrocarbon Gases Data of Mineral Oil Immersed Power Transformers using Computer Intelligence

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Listed:
  • Indra Getzy David
  • M Rajaram

Abstract

This work proposes the separation of Faults diagnosed from Hydrocarbon Gas Data Collected from Dissolved Gas Analysis of Power Transformers over a period of a Decade in the area of Tirunelveli District in South India. The condition of Power Transformers is diagnosed using Fuzzy Set Theory. (FST) Simulations are compared with conventional methods. The computational Efficiency ,Reliability and Success are evaluated and compared. FST is found to be more reliable ,efficient and its success rate is also high.

Suggested Citation

  • Indra Getzy David & M Rajaram, 2012. "Prediction of Faults using Hydrocarbon Gases Data of Mineral Oil Immersed Power Transformers using Computer Intelligence," Journal of Asian Scientific Research, Asian Economic and Social Society, vol. 2(1), pages 6-13.
    • Handle: RePEc:asi:joasrj:v:2:y:2012:i:1:p:6-13:id:3319
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